Ajay Kumar Sridhar

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 2 papers; trusts 100 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ajay Kumar Sridhar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yann LeCun
  7. Jonathan Ho
  8. Ilya Sutskever
  9. Ruslan Salakhutdinov
  10. Quoc V. Le

Who trusts Ajay Kumar Sridhar overall

  1. O. Team
  2. Bencheng Liao

Papers from Ajay Kumar Sridhar's perspective

Ordered by how strongly the researchers Ajay Kumar Sridhar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers